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Language Skills

R
SQL
C++
Python
Bash
HTML/CSS
Javascript

Disclaimer

Last updated on 2021-10-05.

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Joshua Goldberg

I have created machine learning models to optimize sales and marketing tasks with potential impact total $1 million sales annually at a financial institution; I have also built models to detect risky behavior of millions of sellers on Amazon. Outside of work, I enjoy distance running and I like to develop/implement algorithms in C++.

Industry Experience

Data Scientist

Amazon

Seattle, WA

Current - 2020

  • Build machine learning models to detect Amazon seller fraud activity
  • Manage ETL pipelines to enable automated work-flows
  • Maintain model efficacy through retraining and error analysis
  • Create software tools to monitor machine learning models in production

AVP, Lead Data Scientist

Nuveen

Chicago, IL

2020 - 2017

  • Pioneered end-to-end (execution and experimental design) deep learning time series solution for client onboarding; result identified ~$1 billion sales opportunity to maximize client journey
  • Built recommendation engine for 150,000 clients in 50+ products
  • Presented model/analysis to executive management; results included model adoption by 100+ sales people and a significant increase sales for clients treated by the model
  • Conceptualized and created simulation engine that isolated, detected and measured the ROI impact of company sales events

Senior Equity Research Associate, Financial Services

Chicago, IL

Raymond James Financial, Inc.

2017 - 2014

  • Built company and industry models using finance and statistical techniques, including regression and discounted cash flows (DCF)




Education

Graduate Certificate in Software Design & Development

University of Washington Bothell

Bothell, WA

Current - 2021

  • C++ data structure & algorithms, object-oriented design, systems programming, and software planning and development

Computer Science Coursework

Edmonds College

Seattle, WA

2021

  • C/C++ Data structures & algorithms and object-oriented design

M.S. in Analytics

University of Washington Bothell

Chicago, IL

2020 - 2018

  • Coursework in statistics, linear algebra, machine learning, and deep learning

B.S. in Accounting and Finance

University of South Florida

Tampa, FL

2013

Teaching Experience

I am passionate about teaching and helping others. It brings me joy and satisfication to teach others new skills.

Data Understanding via SQL, Databases, and R

University of Chicago

Remote

Current - 2020

  • TA and lecture
  • Topics include introduction to databases, mySQL, and R

MastersTrack Statistics for Machine Learning

University of Chicago

Coursera

Current - 2020

  • TA and lecture
  • Topics include simple and multiple regression, logistic regression, hypothesis testing, variable transformations

MastersTrack Machine Learning

University of Chicago

Coursera

Current - 2020

  • TA
  • Topics include a survey of machine learning algorithms: kNN, support vector machine, decision tree, random forest, boosted trees, and clustering algorithms